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Record W2308615652 · doi:10.3390/soc6020007

Eating in the City: A Review of the Literature on Food Insecurity and Indigenous People Living in Urban Spaces

2016· review· en· W2308615652 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSocieties · 2016
Typereview
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsLakehead UniversityUniversity of Waterloo
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health ResearchLakehead University
KeywordsIndigenousRelocationFood insecurityGeographyDiversity (politics)Urban agricultureSettlement (finance)Food securitySocioeconomicsEconomic growthEnvironmental planningPolitical scienceSociologyEcologyBusinessAgriculture

Abstract

fetched live from OpenAlex

Indigenous people often occupy different overlapping or co-existing food environments that include market-based foods, land and water based foods, and combinations of the two. Studying these food environments is complicated by the cultural and geographic diversity of Indigenous people and the effects of colonialism, land dispossession, relocation and forced settlement on static reserves, and increasing migration to urban areas. We conducted a scoping study of food insecurity and Indigenous peoples living in urban spaces in Canada, the United States, and Australia. The 16 studies reviewed showed that food insecurity among urban Indigenous populations is an issue in all three nations. Findings highlight both the variety of experiences of urban Indigenous peoples within and across the three nations, and the commonalities of these experiences.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.678
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.050
GPT teacher head0.380
Teacher spread0.330 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it